Reader Mode Pipeline That Skips Web Bloat Rendering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing attention applications, such as web browsers, suffer from inefficiencies and privacy issues due to the rendering of unwanted additional matter, known as 'web bloat', which consumes resources, slows load times, and compromises user privacy through tracking and malicious code execution.
Innovation Solution
Implementing a reader mode-optimized pipeline that classifies web pages for compatibility before rendering, skipping the loading and rendering of unwanted content, using a machine-learning driven approach to identify readable subsets and render only essential elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the application renders all content in the hypermedia document including additional matter, then the rendering is complete and comprehensive, but page load times increase significantly and system resources are wasted
Solution Approach 1:
The patent extracts and removes unwanted additional matter (web bloat) from the hypermedia document before rendering. The system identifies and excludes non-essential elements such as ads, trackers, and malicious code, rendering only the core readable content. This extraction process resolves the contradiction by delivering complete rendering of essential content while eliminating time-wasting elements.
Solution Approach 2:
The patent segments the hypermedia document into essential readable content and non-essential additional matter. By dividing the document structure and selectively processing only the readable portions, the system achieves comprehensive rendering of important content while skipping unnecessary elements, thus reducing page load time without sacrificing rendering completeness.
2Manufacturing precision
If the application fetches and renders all media content in the hypermedia document, then the content delivery is complete, but bandwidth is wasted and computing resources are consumed
Solution Approach 1:
The system extracts and removes unwanted media content and additional matter from the hypermedia document before fetching and rendering. By identifying and excluding non-essential elements, the application delivers complete essential content while minimizing bandwidth consumption and computing resource usage associated with processing unnecessary media.
3Adaptability or versatility
If the application executes all code in the hypermedia document, then all functional features are available, but privacy is compromised through trackers and malicious code
Solution Approach 1:
The patent extracts and removes harmful code elements including trackers, ads, and malicious code from the hypermedia document before execution. By filtering out these harmful factors while retaining essential functional content, the system maintains feature availability without compromising user privacy and security.
Solution Approach 2:
The system applies preliminary anti-action by blocking and preventing the execution of harmful code before it can compromise privacy. The application proactively identifies and neutralizes trackers and malicious code during the parsing and rendering process, countering potential privacy threats before they materialize.
4Manufacturing precision
If the application renders the complete hypermedia document, then all page elements are displayed, but usability is reduced due to clutter and unwanted elements
Solution Approach 1:
The patent extracts and removes unwanted page elements such as ads, navigation clutter, and non-essential content from thehypermedia document before rendering. This extraction process delivers complete essential content while eliminating usability-detracting elements, resulting in a cleaner, more user-friendly display.
Data Source
AI summary
An attention application, such as a web browser, includes a pipeline optimized for faster, more secure, and more private, viewing of hypermedia documents using a reader mode. The reader mode is “always on” in the sense that a classifier runs on every web page and every compatible page is rendered in the reader mode and not rendered in full, referred to as the bloat page. Significant time savings are gained by avoiding fetching and rendering the bloat page at all because the bloat page devours network bandwidth and computing resources. Avoiding loading the bloat page also avoids exposing the user to what are often abusive privacy infringements and security vulnerabilities from running executable code in the browser, while providing an uncluttered viewing experience of content that is actually of interest to the user.


